Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism

被引:0
|
作者
Bikdeli, Behnood [1 ,2 ,3 ,29 ]
Khairani, Candrika D. [2 ]
Bejjani, Antoine [2 ,4 ]
Lo, Ying-Chih [5 ]
Mahajan, Shiwani [3 ,6 ]
Caraballo, Cesar [3 ,7 ]
Jimenez, Jose Victor [3 ]
Krishnathasan, Darsiya [2 ]
Zarghami, Mehrdad [8 ,9 ]
Rashedi, Sina [2 ]
Jimenez, David [10 ,11 ]
Barco, Stefano [1 ,12 ,13 ]
Secemsky, Eric A. [1 ,2 ,14 ,15 ,16 ]
Klok, Frederikus A. [1 ,17 ]
Hunsaker, Andetta R. [1 ,18 ]
Aghayev, Ayaz [1 ,18 ]
Muriel, Alfonso [19 ,20 ,21 ]
Hussain, Mohamad A. [22 ,23 ]
Appah-Sampong, Abena [22 ,23 ]
Lu, Yuan [3 ]
Lin, Zhenqiu [3 ]
Mojibian, Hamid [24 ]
Aneja, Sanjay [3 ,25 ]
Khera, Rohan [3 ]
Konstantinides, Stavros [26 ]
Goldhaber, Samuel Z.
Wang, Liqin [5 ]
Zhou, Li [5 ]
Monreal, Manuel [27 ]
Piazza, Gregory [1 ,2 ]
Krumholz, Harlan M. [3 ,7 ,28 ]
PE EHR Investigators
机构
[1] Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Med Div, Boston, MA USA
[2] Harvard Med Sch, Brigham & Womens Hosp, Thrombosis Res Grp, Boston, MA USA
[3] YNHH Yale Ctr Outcomes Res & Evaluat, New Haven, CT USA
[4] Univ Pittsburgh, Med Ctr, Dept Internal Med, Pittsburgh, PA USA
[5] Harvard Med Sch, Brigham & Womens Hosp, Div Gen Internal Med & Primary Care, Dept Med, Boston, MA USA
[6] Yale Sch Med, Dept Internal Med, New Haven, CT USA
[7] Yale Sch Med, Dept Internal Med, Sect Cardiovasc Med, New Haven, CT USA
[8] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Div Allergy & Clin Immunol, Boston, MA USA
[9] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Div Genet, Boston, MA USA
[10] Hosp Univ Ramon & Cajal, Hosp Ramon y Cajal, Inst Ramon y Cajal Invest Sanitaria, Invest Biomed Red Enfermedades Resp,Resp Dept,Ctr, Madrid, Spain
[11] Univ Alcala, Ctr Invest Biomed Red Enfermedades Resp, Med Dept, Inst Ramon y Cajal Invest Sanitaria, Madrid, Spain
[12] Univ Hosp Zurich, Dept Angiol, Zurich, Switzerland
[13] Johannes Gutenberg Univ Mainz, Ctr Thrombosis & Hemostasis, Mainz, Germany
[14] Beth Israel Deaconess Med Ctr, Richard A & Susan F Smith Ctr Outcomes Res Cardiol, Boston, MA USA
[15] Harvard Med Sch, Boston, MA USA
[16] Beth Israel Deaconess Med Ctr, Dept Med, Div Cardiol, Boston, MA USA
[17] Leiden Univ, Med Ctr, Dept Med Thrombosis & Hemostasis, Leiden, Netherlands
[18] Harvard Med Sch, Brigham & Womens Hosp, Dept Radiol, Boston, MA USA
[19] Hosp Ramon & Cajal, Comp Engn Dept, Madrid, Spain
[20] Univ Alcala, Madrid, Spain
[21] CIBER Epidemiol & Salud Publ, Madrid, Spain
[22] Harvard Med Sch, Brigham & Womens Hosp, Dept Surg, Div Vasc & Endovasc Surg, Boston, MA USA
[23] Harvard Med Sch, Ctr Surg & Publ Hlth, Brigham & Womens Hosp, Dept Surg, Boston, MA USA
[24] Yale Univ, Dept Radiol & Biomed Imaging, New Haven, CT USA
[25] Yale Sch Med, Dept Therapeut Radiol, New Haven, CT USA
[26] Democritus Univ Thrace, Dept Cardiol, Alexandroupolis, Greece
[27] Univ Catolica Murcia, Murcia, Spain
[28] Yale Sch Publ Hlth, Dept Hlth Policy & Management, New Haven, CT USA
[29] Brigham & Womens Hosp, Cardiovasc Med Div, 75 Francis St, Boston, MA 02115 USA
关键词
accuracy; administrative claims; electronic health records; International Classification of Diseases; pulmonary embolism; VENOUS THROMBOEMBOLISM; NATIONAL TRENDS; OUTCOMES; HOSPITALIZATION; THERAPIES; ADULTS; RATES; US;
D O I
10.1016/j.jtha.2024.10.013
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Many research investigations for pulmonary embolism (PE) rely on the International Classification of Diseases 10th Revision (ICD-10) codes for analyses of electronic databases. The validity of ICD-10 codes in identifying PE remains uncertain. Objectives: The objective of this study was to validate an algorithm to efficiently identify pulmonary embolism using ICD-10 codes. Methods: Using a prespecified protocol, patients in the Mass General-Brigham hospitals (2016-2021) with ICD-10 principal discharge codes for PE, those with secondary codes for PE, and those without PE codes were identified (n = 578 from each group). Weighting was applied to represent each group proportionate to their true prevalence. The accuracy of ICD-10 codes for identifying PE was compared with adjudication by independent physicians. The F1 score, which incorporates sensitivity and positive predictive value (PPV), was assessed. Subset validation was performed at Yale-New Haven Health System. Results: A total of 1712 patients were included (age: 60.6 years; 52.3% female). ICD-10 PE codes in the principal discharge position had sensitivity and PPV of 58.3% and 92.1%, respectively. Adding secondary discharge codes to the principal discharge codes improved the sensitivity to 83.2%, but the PPV was reduced to 79.1%. Using a combination of ICD-10 PE principal discharge codes or secondary codes plus imaging codes for PE led to sensitivity and PPV of 81.6% and 84.7%, respectively, and the highest F1 score (83.1%; P < .001 compared with other methods). Validation yielded largely similar results. Conclusion: Although the principal discharge codes for PE show excellent PPV, they miss 40% of acute PEs. A combination of principal discharge codes and secondary codes plus PE imaging codes led to improved sensitivity without severe reduction in PPV.
引用
收藏
页码:556 / 564
页数:9
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